Repository navigation
大语言模型
大型语言模型（large language model，简称LLM）是一种专为理解、生成和处理人类语言而设计的深度学习模型。这些模型通过在海量文本数据（如书籍、文章、网页等）上进行训练，学习语言的模式、语境和语义。大型语言模型广泛应用于聊天机器人、代码生成、翻译、文本摘要等领域，是生成式人工智能的核心技术，通常基于Transformer架构构建。
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, Qwen3, Llama 4, DeepSeek-R1, Gemma 3, TTS 2x faster with 70% less VRAM.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
AI Analytics Engine that can answer questions over large scale data. - The only MCP Server you'll ever need
Self-hosted AI coding assistant
LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.
An open-source RAG-based tool for chatting with your documents.
Open-source search and retrieval database for AI applications.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
🚀 The fast, Pythonic way to build MCP servers and clients
